Projekty badawcze
swarog
System Wykrywania Dezinformacji Metodami Sztucznej Inteligencji
Kierownik prof. PWr, dr hab. inż. Paweł Ksieniewicz
2021-12-02—2024-04-01 finansowanie 8 657 006,25 [NCBR]
Wybrane publikacje
problexity—An open-source Python library for supervised learning problem complexity assessment
Komorniczak, Joanna and Ksieniewicz, Paweł
Neurocomputing, 2023 W ramach projektu MOL
Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news
Ksieniewicz, Paweł and Zyblewski, Paweł and Borek-Marciniec, Weronika and Kozik, Rafał and Choraś, Michał and Woźniak, Michał
Engineering Applications of Artificial Intelligence, 2023
Statistical Drift Detection Ensemble for batch processing of data streams
Komorniczak, Joanna and Zyblewski, Paweł and Ksieniewicz, Paweł
Knowledge-Based Systems, 2022 W ramach projektu IDSTREAM
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation
Komorniczak, Joanna and Zyblewski, Pawel and Ksieniewicz, Pawel
2022 International Joint Conference on Neural Networks (IJCNN), 2022 W ramach projektu IDSTREAM
Stream-learn — open-source Python library for difficult data stream batch analysis
Ksieniewicz, P. and Zyblewski, P.
Neurocomputing, 2022 W ramach projektu IDSTREAM
Concept drift detector based on centroid distance analysis
Klikowski, Jakub
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams
Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał
Information Fusion, 2021 W ramach projektu IDSTREAM
Fusion of linear base classifiers in geometric space
Ksieniewicz, Paweł and Zyblewski, Paweł and Burduk, Robert
Knowledge-Based Systems, 2021
Hellinger Distance Weighted Ensemble for imbalanced data stream classification
Grzyb, Joanna and Klikowski, Jakub and Woźniak, Michał
Journal of Computational Science, 2021 W ramach projektu IDSTREAM
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
Choraś, Michał and Demestichas, Konstantinos and Giełczyk, Agata and Herrero, Álvaro and Ksieniewicz, Paweł and Remoundou, Konstantina and Urda, Daniel and Woźniak, Michał
Applied Soft Computing, 2021
How to design the fair experimental classifier evaluation
Stapor, Katarzyna and Ksieniewicz, Paweł and García, Salvador and Woźniak, Michał
Applied Soft Computing, 2021 W ramach projektu IDSTREAM
The prior probability in the batch classification of imbalanced data streams
Ksieniewicz, Paweł
Neurocomputing, 2021 W ramach projektu IDSTREAM
Aktualności
Archiwum
Profesor Paweł Ksieniewicz w składzie Rady Dyscypliny ITT
Stopień doktora habilitowanego dla Pawła Ksieniewicza
Laureaci programu Secundus wśród pracowników naszej katedry